Plastic Pollution and the Potential Causes
Plastic pollution is a significant environmental issue with global impacts. Research by Kumar et al. (Kumar et al., 2018) in Dhanbad, India found that plastic waste constituted 5.7% of total municipal solid waste, with varying rates among socioeconomic groups. The study also highlighted the recovery of plastic waste by informal recyclers, generating revenue. Li et al. (Li et al., 2021) analyzed plastic pollution in various environmental samples and identified polyethylene and polypropylene as common types. Schwarz et al. (Schwarz et al., 2019) examined plastic waste in aquatic environments, emphasizing packaging, consumer products, and fishery items as major contributors. Mihai et al. (Mihai et al., 2021) explored plastic pollution challenges in rural areas and proposed circular economy strategies for waste management. Obebe and Adamu (Obebe & Adamu, 2020) highlighted improper waste disposal as the main cause of plastic pollution and discussed its harmful effects on health, marine life, and ecosystems.
These 3 scatterplots deomonstrate the relationship between population and 3 different plastic waste variables:
coastal,mismanaged, andgeneral. Despite correlations implied in the studies referenced, there seems to be no susceptible relation between these variables in this dataset. This suggests that there may be another factor influencing waste production.
Next, this regression model demonstrates the relation between
GPDandwaste production. The best-fit line suggests a slight positive correlation between the two variables, with greater inaccuracies with increasing values.
These density plots represent the distribution of values of the variables
Mismanaged WasteandPlastic Waste. While no distinct conclusions can be drawn from the plots, they provide a visualization of the difference in frequencies of these variables.
Finally, this correlation gives a chance in interpret the data from our last dataset. With no definite conclusions reached with the previous tests, it could be useful to view the correlations between types of plastic waste. However, this test only implies a moderate correlation between the variables
PET,HDPE,LDPE. This could mean that these plastics occur in likelyhood with each other, with moderate confidence.
Despite several questions brought in the review of literature, little conclusions could be made from the data presented. One relation was found between GPD and Plastic Waste, however it being slight. It was expected to find strong correlation between population and various waste values, yet none was found. The results were ultimately surprising.
Lane Andreas - APCV 302 - Junior